What are the responsibilities and job description for the Snowflake Data Architect position at LiveMindz?
Hi,
Position: Snowflake Data Architect
Location: Memphis, TN (Onsite)
Duration: 6 Months (C2H)
Job Summary
- We are seeking a Senior Snowflake Data Architect with 10 years of experience to serve as the strategic lead for our Master Data Management (MDM) team. You will be responsible for the end-to-end architectural vision, aligning Snowflake’s capabilities with the enterprise-wide goal of creating a single source of truth. This role requires a high-level strategist capable of translating complex business requirements into scalable, secure, and actionable technical roadmaps that support analytics and retail services.
Strategic Architecture & Project Leadership
Enterprise MDM Strategy & Design
- Architectural Vision: Lead the long-term evolution and maintenance of the Snowflake cloud platform to support enterprise-level MDM implementation.
- Conceptual to Physical Modeling: Design complex data schemas (Star/Snowflake) and master data domains that unify fragmented data from sources like Salesforce.
- Requirement Transformation: Act as the primary technical bridge to BI, Retail Services, and cross-functional teams to elicit high-level business requirements.
- Actionable Roadmapping: Convert enterprise goals into a prioritized backlog of technical tasks and architectural blueprints for the implementation team.
- Governance, Security & Performance
- Global Access Strategy: Configure and manage enterprise-grade security, including advanced Role-Based Access Control (RBAC) and data masking within Snowflake.
- Compliance Framework: Implement and enforce security best practices to meet strict global compliance and data privacy requirements.
- Optimization Oversight: Manage and optimize the Snowflake environment to ensure high-performance delivery for business intelligence initiatives.
- Technical Integration & Mentorship
- Ecosystem Alignment: Oversee the integration of the complete data analytics stack, ensuring seamless flow between Snowflake, Python-based automation, and Tableau.
- Advanced Troubleshooting: Serve as the final escalation point for complex technical issues and data stack downtime.
- Technical Leadership: Guide and mentor junior to mid-level developers on data warehousing concepts and database design.
Qualifications & Tech Stack
Experience & Education
- Experience: Minimum 7 years of hands-on experience in Snowflake or comparable cloud-based data platforms.
- Education: Bachelor’s degree in Information Technology, Computer Science, or a related field.
- Mastery: Expert-level understanding of data warehousing concepts, MDM lifecycle, and database design.
Technical Skills
- Data Engineering: Expert-level SQL and Python for building automated, scalable data pipelines.
- Visualization: Advanced proficiency in Tableau to translate raw data into actionable insights.
- CRM Systems: Deep familiarity with data structures and extraction methodologies.
Soft Skills
- Strategic Problem-Solving: Ability to resolve systemic, multi-layered technical challenges.
- Collaborative Leadership: Effective communication skills to align diverse stakeholders with the MDM strategy.